Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Alejandro Hevia"'
Autor:
Alejandro Hevia Feliu, Beatriz Gómez González, Marta Muñoz Fernández de Legaria, Erika Mateo Martínez, José Manuel de la Morena Gallego
Publikováno v:
Urology Case Reports, Vol 43, Iss , Pp 102121- (2022)
Solitary fibrous tumor (SFT) is an uncommon neoplasm tipically located on the pleura (Chick et al., 2013 Mar). Althought prostatic cancer tend to be adenocarcinoma, prostatic solitary fibrous tumor might be a rare cause of prostatic growth. They usua
Externí odkaz:
https://doaj.org/article/af09bf3a1032454aa6fad047e96750b8
Recent works showed that simple success-based rules for self-adjusting parameters in evolutionary algorithms (EAs) can match or outperform the best fixed parameters on discrete problems. Non-elitism in a (1,$\lambda$) EA combined with a self-adjustin
Externí odkaz:
http://arxiv.org/abs/2204.05817
Evolutionary algorithms (EAs) are general-purpose optimisers that come with several parameters like the sizes of parent and offspring populations or the mutation rate. It is well known that the performance of EAs may depend drastically on these param
Externí odkaz:
http://arxiv.org/abs/2104.05624
Autor:
Subiela, José Daniel, González-Padilla, Daniel A., Huguet, Jorge, Aumatell, Júlia, Rodríguez-Faba, Oscar, Krajewski, Wojciech, Feliu, Alejandro Hevia, Mínguez, Cesar, Plaza, José López, Artiles Medina, Alberto, Gajate, Pablo, Jiménez Cidre, Miguel Ángel, Burgos Revilla, Javier, Breda, Alberto, Palou, Joan
Publikováno v:
In Urology February 2023 172:157-164
Akademický článek
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Autor:
José Daniel Subiela, Daniel A. González-Padilla, Jorge Huguet, Júlia Aumatell, Oscar Rodríguez-Faba, Wojciech Krajewski, Alejandro Hevia Feliu, Cesar Mínguez, José López Plaza, Alberto Artiles Medina, Pablo Gajate, Miguel Ángel Jiménez Cidre, Javier Burgos Revilla, Alberto Breda, Joan Palou
Publikováno v:
Urology. 172:157-164
To assess clinical outcomes of patients who underwent simultaneous radical cystectomy (RC) and radical nephroureterectomy (RNU) for panurothelial carcinoma (PanUC).A retrospective analysis of 67 patients who underwent simultaneous RC and unilateral R
Akademický článek
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Publikováno v:
ACM Transactions on Evolutionary Learning and Optimization. 2:1-39
The self-adjusting (1 + (λ, λ)) GA is the best known genetic algorithm for problems with a good fitness-distance correlation as in OneMax . It uses a parameter control mechanism for the parameter λ that governs the mutation strength and the number
Publikováno v:
FOGA
In the discrete domain, self-adjusting parameters of evolutionary algorithms (EAs) has emerged as a fruitful research area with many runtime analyses showing that self-adjusting parameters can out-perform the best fixed parameters. Most existing runt
Publikováno v:
GECCO
Evolutionary algorithms (EAs) are general-purpose optimisers that come with several parameters like the sizes of parent and offspring populations or the mutation rate. It is well known that the performance of EAs may depend drastically on these param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1308e6f33415ec8d4f20d0a69f163a71